Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy

Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy

Abstract Background Machine learning has many attractive theoretic properties, specifically, the ability to handle non predefined relations. Additionally, studies have validated the clinical utility of mpMRI for the detection and localization of CSPCa (Gleason score ≥ 3 + 4). In this study, we sough...

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Bibliographic Details
Main Authors: Shuanbao Yu, Jin Tao, Biao Dong, Yafeng Fan, Haopeng Du, Haotian Deng, Jinshan Cui, Guodong Hong, Xuepei Zhang
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Urology
Subjects:
Prostate cancer
Machine learning
Predictive model
Prostate biopsy
Online Access:https://doi.org/10.1186/s12894-021-00849-w

Internet

https://doi.org/10.1186/s12894-021-00849-w

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